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Control and Optimization: new developments and applications

Organizer(s):
Name:	Affiliation:	Country:
Monica Motta	University of Padova	Italy
Alexander J. Zaslavski	ajzasl@technion.ac.il	Israel
Ellina Grigorieva	Texas Woman's University	USA

Abstract:

This special session on new developments in control and optimization and their applications will bring together a selected group of experts in these areas. The growing importance of control and optimization has been realized in recent years. This is due not only to theoretical developments, but also because of numerous applications to engineering, economics and life sciences. The topics which will be discussed include turnpike phenomenon, averaging in optimal control, impulsive optimal control problems, necessary and sufficient optimality conditions, qualitative and quantitative aspects of optimal control, control and stabilization of PDEs.

List of approved abstract
Name	Affiliation	Title
ellina grigorieva	Texas Woman`s University	.Optimization of the alternation of drug intake and rest intervals in adaptive melanoma treatment protocols
Yuhki Hosoya	Faculty of Economics, Chuo University	Non-Smooth Frobenius` Theorem
Baasansuren Jadamba	Rochester Institute of Technology	Application of a stochastic approximation method for the elastography inverse problem
Yirmeyahu Kaminski	Holon Institute of Technology	Intrinsic and Apparent Singularities in Differentially Flat Systems
Akhtar A Khan	Rochester Institute of Technology	A New Regularized Stochastic Approximation Framework For Stochastic Inverse Problems
Zaifeng Lin	Texas A&M University	On Affine Equivalence of sub-Riemannian Metrics on Step 2 Distributions
Mariusz Michta	University of Zielona Gora	Stochastic differential inclusions and set-valued stochastic differential equations
Monica M Motta	University of Padua	High order Lyapunov functions and Lie-bracket-based feedback stabilizability with cost regulation
Tien Khai Nguyen	North Carolina State University	On the structure of the value function of optimal exit time problems
Igor Zelenko	Texas A&M University	Genericity of Projectively and Affinely Rigid sub-Riemannian Metrics.